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  The dynamics of resting fluctuations in the brain: Metastability and its dynamical cortical core

Deco, G., Kringelbach, M. L., Jirsa, V. K., & Ritter, P. (2017). The dynamics of resting fluctuations in the brain: Metastability and its dynamical cortical core. Scientific Reports, 7: 3095. doi:10.1038/s41598-017-03073-5.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-E155-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-BDD9-4
Genre: Journal Article

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 Creators:
Deco, Gustavo1, 2, Author              
Kringelbach, Morten L. 2, Author
Jirsa , Viktor K.2, Author
Ritter, Petra1, 3, Author              
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
2External Organizations, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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Free keywords: Cognitive control; Dynamical systems
 Abstract: In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.

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Language(s): eng - English
 Dates: 2015-10-162017-04-062017-06-08
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1038/s41598-017-03073-5
PMID: 28596608
PMC: PMC5465179
 Degree: -

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Project name : The Dynamical and Structural Basis of Human Mind Complexity: Segregation and Integration of Information and Processing in the Brain / DYSTRUCTURE
Grant ID : 295129
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Spanish National Project Complexity of Brain States
Grant ID : PSI2016-75688-P
Funding program : -
Funding organization : Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF)
Project name : The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting / CAREGIVING
Grant ID : 615539
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation
Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1
Grant ID : 720270
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : -
Grant ID : JSMF22002082
Funding program : -
Funding organization : James S. McDonnell Foundation
Project name : -
Grant ID : ANR- 11-IDEX-0001-02
Funding program : A*MIDEX project
Funding organization : Agence Nationale de la Recherche (ANR)
Project name : -
Grant ID : 01GQ1504A
Funding program : US-German Collaboration in Computational Neuroscience
Funding organization : German Ministry of Education and Research (BMBF)
Project name : -
Grant ID : 01GQ0971-5
Funding program : Bernstein Focus State Dependencies of Learning
Funding organization : German Ministry of Education and Research (BMBF)
Project name : -
Grant ID : -
Funding program : -
Funding organization : Max-Planck Society
Project name : Personalized whole brain simulations: linking connectomics and dynamics in the human brain / BrainModes
Grant ID : 683049
Funding program : Horizon 2020
Funding organization : European Commission (EC)

Source 1

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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 7 Sequence Number: 3095 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322